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A method for reducing scanning error rate of LIDAR using a galvanometer
Author(s): Gyudong Choi; Munhyun Han; Hongseok Seo; Bongki Mheen
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Paper Abstract

Scanners are widely used in modern industry and daily life, and they have a wide range of applications. They are used not only for medical measuring and imaging equipment but also for cutting and processing equipment in the industrial field, as well as for information processing, display and data collection in various technologies, such as projectors and 3D image sensors. With the development of technology, the use of scanners has been increasing as automation has progressed. In particular, with the development of unmanned mobile technology, sensors using scanners are being developed. It is a common problem that it is difficult to precisely control a mechanically moving scanner, although the manner of controlling the scanner varies according to the application technology. When a scanner is operated at a high speed, a scan error occurs because of the difference of scan speed between the acceleration region and the constant region. Scan error also leads to serious problems in a LIDAR sensor. In a LIDAR sensor, scan error prevents the user from achieving the objective of detecting the exact position of the object by collecting or transmitting information that is different from what the user desires. In this paper, we present a technique to compensate for the scanning error that occurs in a LIDAR sensor. In most cases where a commercial scanner is used, the user has restricted methods to control the scanner. It is difficult to control the scanner precisely because the scanner needs to be controlled using only one or two pieces of information. Also, conditions that can be changed depending on application technology may be limited. We propose a method to reduce the scan error and to improve the 3D image of the LIDAR sensor through the limited scanner control.

Paper Details

Date Published: 7 October 2019
PDF: 8 pages
Proc. SPIE 11155, Image and Signal Processing for Remote Sensing XXV, 1115529 (7 October 2019); doi: 10.1117/12.2532710
Show Author Affiliations
Gyudong Choi, Electronics and Telecommunications Research Institute (Korea, Republic of)
Munhyun Han, Electronics and Telecommunications Research Institute (Korea, Republic of)
Univ. of Science and Technology (Korea, Republic of)
Hongseok Seo, Electronics and Telecommunications Research Institute (Korea, Republic of)
Bongki Mheen, Electronics and Telecommunications Research Institute (Korea, Republic of)
Univ. of Science and Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 11155:
Image and Signal Processing for Remote Sensing XXV
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

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